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Applications of IoT and digital twin in electrical power systems: A comprehensive survey
This paper reviews the applications of Internet of Things (IoT) and digital twin technology in
electrical power systems. It begins by discussing the generalized IoT value chain, followed …
electrical power systems. It begins by discussing the generalized IoT value chain, followed …
A Review of Predictive Analytics Models in the Oil and Gas Industries
PA R Azmi, M Yusoff, MT Mohd Sallehud-din - Sensors, 2024 - mdpi.com
Enhancing the management and monitoring of oil and gas processes demands the
development of precise predictive analytic techniques. Over the past two years, oil and its …
development of precise predictive analytic techniques. Over the past two years, oil and its …
A new technique for fault diagnosis in transformer insulating oil based on infrared spectroscopy measurements
Condition monitoring of the insulating system within power transformers has a massive
importance according to the electrical utilities. Dissolved gas analysis (DGA) is frequently …
importance according to the electrical utilities. Dissolved gas analysis (DGA) is frequently …
Application of back propagation neural network in complex diagnostics and forecasting loss of life of cellulose paper insulation in oil-immersed transformers
Oil-immersed transformers are expensive equipment in the electrical system, and their
failure would lead to widespread blackouts and catastrophic economic losses. In this work …
failure would lead to widespread blackouts and catastrophic economic losses. In this work …
[HTML][HTML] A survey of time-series prediction for digitally enabled maintenance of electrical grids
The maintenance of electrical grids is crucial for improving their reliability, performance, and
cost-effectiveness. It involves employing various strategies to ensure smooth operation and …
cost-effectiveness. It involves employing various strategies to ensure smooth operation and …
Ensemble learning based transmission line fault classification using phasor measurement unit (PMU) data with explainable AI (XAI)
A large volume of data is being captured through the Phasor Measurement Unit (PMU),
which opens new opportunities and challenges to the study of transmission line faults. To be …
which opens new opportunities and challenges to the study of transmission line faults. To be …
Application of infrared spectroscopy for discrimination between electrical and thermal faults in transformer oil
Power transformer diagnostics and condition assessment are essential measures to
increase the transformer's lifetime. In this regard, the dissolved gas analysis (DGA), the most …
increase the transformer's lifetime. In this regard, the dissolved gas analysis (DGA), the most …
Robust fault detection and classification in power transmission lines via ensemble machine learning models
Transmission lines are vital for delivering electricity over long distances, yet they face
reliability challenges due to faults that can disrupt power supply and pose safety risks. This …
reliability challenges due to faults that can disrupt power supply and pose safety risks. This …
[HTML][HTML] Designing digitally enabled proactive maintenance systems in power distribution grids: A sco** literature review
The digitalization of the power distribution grid has surged over the past decade. This
transformation has given rise to a host of new data-driven applications focused on condition …
transformation has given rise to a host of new data-driven applications focused on condition …
A new method for estimating transformer health index based on ultraviolet-visible spectroscopy
The condition assessment of power transformers by evaluating the state of their insulating
system is of great importance according to the electrical utilities. Since, as early as the …
system is of great importance according to the electrical utilities. Since, as early as the …